JpGU-AGU Joint Meeting 2017

Presentation information

[EE] Oral

A (Atmospheric and Hydrospheric Sciences) » A-OS Ocean Sciences & Ocean Environment

[A-OS13] [EE] Continental-Oceanic Mutual Interaction: Global-scale Material Circulation through River Runoff

Tue. May 23, 2017 1:45 PM - 3:15 PM 302 (International Conference Hall 3F)

convener:Yosuke Yamashiki(Global Water Resources Assessment Laboratory - Yamashiki Laboratory Graduate School of Advanced Integrated Studies in Human Survivability Kyoto University), Yukio Masumoto(Graduate School of Science, The University of Tokyo), Swadhin Behera(Climate Variation Predictability and Applicability Research Group, Application Laboratory, JAMSTEC, 3173-25 Showa-machi, Yokohama 236-0001), Yasumasa Miyazawa(Japan Agency for Marine-Earth Science and Technology), Chairperson:Yukio Masumoto(Graduate School of Science, The University of Tokyo), Chairperson:Behera Swadhin(JAMSTEC)

2:00 PM - 2:15 PM

[AOS13-02] Near-Surface Salinity Stratification from Satellite SSS Observations and Numerical Models

*Y Tony Song1 (1.NASA Jet Propulsion Laboratory)

Keywords:Satellite observation , Sea surface salinity, River runoff

Using a recently developed ESSL (extended surface-salinity layer) model [Song et al., JGR, 2013], we have examined the near-surface salinity stratifications with emphasis on understanding of the dynamical processes that differ from one region to another. It is shown that the seasonal SSS variability at skin layer differs/agrees regionally in their amplitude from/with Argo-measured salinity at 5 m depth and model salinity at the top layer, indicating various characteristics of near-surface salinity stratifications. Our model-data comparisons show that for regions with river runoff and/or surface freshwater, significant differences due to near-surface stratification can be found between the Aquarius, Argo and model. Differently for well-mixed regions, like the southern Arabian Sea due to seasonally reversing currents driven by monsoons, the surface water can be mixed down quickly to the depth of 5 m, resulting in an agreement among the datasets. The modeling study suggests that dynamical differences can lead to different vertical salinity stratifications locally.